System and method of identifying and segmenting online users

Abstract

A processor implemented method for identifying and segmenting a plurality of online users based on a level of engagement with respect to at least one user group is provided. The method includes obtaining, information associated with one or more user from one or more user groups, computing, one or more parameter of one or more user based on the information associated with the one more user, dynamically obtaining, a score for the one or more user based on one or more parameter, and segmenting, the plurality of online users from the one or more user groups based on the score for the one or more user to obtain a subset of the plurality of online users from the one or more user group including (a) a highest first level of engagement, (b) a second highest level of engagement, and (c) a third highest level of engagement.

What is claimed is: 
     
         1 . A processor implemented method for identifying and segmenting a plurality of online users based on a level of engagement with respect to at least one user group, said method comprising:
 obtaining, information associated with at least one user from said at least one user group;   computing, at least one parameter of said at least one user from said at least one user group based on said information associated with said at least one user from said at least one user group, wherein said at least one user belongs to said at least one user group;   dynamically obtaining, a score for said at least one user from said at least one user group based on said at least one parameter, wherein said score for said at least one user is valid for specific period of time;   segmenting, said plurality of online users from said at least one user group based on said score for said at least one user to obtain a subset of said plurality of online users from said at least one user group comprising (i) a highest first level of engagement, (ii) a second highest level of engagement, and (iii) a third highest level of engagement; and   providing, at least one reward to said subset of said plurality of online users based on said at least one parameter and said score for said at least one user.   
     
     
         2 . The processor implemented method of  claim 1 , further comprising, dynamically monitoring, at a server, a status associated with said subset of said plurality of online users to update said level of engagement of said plurality of online users with respect to said at least one user group. 
     
     
         3 . The processor implemented method of  claim 1 , wherein said at least one parameter is at least one of (i) an influence level of said at least one user from said at least one user group, (ii) at least one critique of said at least one user from at least one user group in a social medium, or (iii) a promotion level of said at least one user from said at least one user group at said social medium. 
     
     
         4 . The processor implemented method of  claim 1 , wherein said at least one user is selected from a group comprising (i) a follower, (ii) a friend, (iii) connections, (iv) one who likes a page, (v) influencer, (vi) a blogger, (vii) a fan, (viii) a musician, (ix) an artist, (x) a celebrity, (xi) a customer, (xii) a seller, (xiii) a buyer, or (xiv) a promoter. 
     
     
         5 . The processor implemented method of  claim 3 , wherein said influence level of said at least one user is computed based on at least one of (i) number of viewers associated with said at least one user in said social medium, (ii) number of review received on at least one post by said at least one user, (iii) number of comments received on at least one post by said at least one user, or (iv) number of times said at least one user being notified in said social medium. 
     
     
         6 . The processor implemented method of  claim 3 , wherein said at least one critique of said at least one user is computed based on at least one of (i) interest level associated with said at least one user, (ii) selecting genres of interest by said at least one user, (iii) recommendations of a social media content by said at least one user, or (iii) activity associated with said at least one user on said social media content. 
     
     
         7 . The processor implemented method of  claim 3 , wherein said promotion level of said at least one user is computed based on how much said at least one user promotes said social media content within at least one connections at said social medium. 
     
     
         8 . The processor implemented method of  claim 5 , wherein said promotion level of said at least one user is computed based on at least one of (i) rating and sharing of said social media content by said at least one user, (ii) said social media content is tagged by said at least one user, (iii) retweets article associated with said social media content in said social medium, or (iv) said at least one user invites said plurality of online users to join and promote. 
     
     
         9 . A server for identifying and segmenting a plurality of online users based on a level of engagement with respect to at least one user group, said server comprising:
 (i) a memory unit that stores (a) a set of modules, (b) a database and instructions, wherein said database comprises (i) information associated with said at least one user group, and (ii) information associated with at least one parameter; and   (ii) a processor which when configured by said instructions executes said set of modules, wherein said set of modules comprises:
 (a) an influence level computing module, executed by said processor, that computes a influence level of at least one user from said at least one user group, wherein said at least one user belongs to said at least one user group; 
 (b) a critique level computing module executed by said processor, that computes at least one critique of said at least one user from said at least one user group in a social medium; 
 (c) a promotional information computing module, executed by said processor, that computes promotion level at said social medium of said at least one user from said at least one user group; 
 (d) a scoring module, executed by said processor, that dynamically obtaining, a score for said at least one user from said at least one user group based on said at least one parameter, wherein said score for said at least one user is valid for specific period of time; and 
 (e) a user segmenting module, executed by said processor, that segments said plurality of online users from said at least one user group based on said score to obtain a subset of said plurality of online users from said at least one user group comprising (i) a highest first level of engagement, (ii) a second highest level of engagement, and (iii) a third highest level of engagement. 
   
     
     
         10 . The server of  claim 9 , further comprises, a user status updating module, executed by said processor, that dynamically monitor, at a server, a status associated with said subset of said plurality of online users to update said level of engagement of said plurality of online users with respect to said at least one user group. 
     
     
         11 . The server of  claim 9 , wherein said influence level of said at least one user is computed based on at least one of (i) number of viewers associated with said at least one user in said social medium, (ii) number of review received on at least one post by said at least one user, (iii) number of comments received on at least one post by said at least one user, or (iv) number of times said at least one user being notified in said social medium. 
     
     
         12 . The server of  claim 9 , wherein said at least one critique of said at least one user is computed based on at least one of (i) interest level associated with said at least one user, (ii) selecting genres of interest by said at least one user, (iii) recommendations of a social media content by said at least one user, or (iii) activity associated with said at least one user on said social media content. 
     
     
         13 . The server of  claim 9 , wherein said promotion level of said at least one user is computed based on how much said at least one user promotes said social media content within at least one connections at said social medium. 
     
     
         14 . The server of  claim 13 , wherein said promotion level of said at least one user is computed based on at least one of (i) rating and sharing of said social media content by said at least one user, (ii) said social media content is tagged by said at least one user, (iii) retweets article associated with said social media content in said social medium, or (iv) said at least one user invites said plurality of online users to join and promote. 
     
     
         15 . The server of  claim 9 , further comprises, a reward offering module, executed by said processor, that provide at least one reward to said subset of said plurality of online users based on said at least one parameter and said score for said at least one user. 
     
     
         16 . A non-transitory program storage device readable by computer, and comprising a program of instructions executable by said computer to perform a method for identifying and segmenting a plurality of online users based on a level of engagement with respect to at least one user group, said method comprising:
 obtaining, information associated with at least one user from said at least one user group;   computing, at least one parameter of said at least one user from said at least one user group based on said information associated with said at least one user from said at least one user group, wherein said at least one user belongs to said at least one user group;   dynamically obtaining, a score for said at least one user from said at least one user group based on said at least one parameter, wherein said score for said at least one user is valid for specific period of time;   segmenting, said plurality of online users from said at least one user group based on said score for said at least one user to obtain a subset of said plurality of online users from said at least one user group comprising (i) a highest first level of engagement, (ii) a second highest level of engagement, and (iii) a third highest level of engagement;   providing, at least one reward to said subset of said plurality of online users based on said at least one parameter and said score for said at least one user;   dynamically monitoring, at a server, a status associated with said subset of said plurality of online users to update said level of engagement of said plurality of online users with respect to said at least one user group; and   computing a promotion level of said at least one user based on how much said at least one user promotes social media content within at least one connections at social medium.